Summary

For either the second term of an introductory statistics course or for an advanced course in applied regression analysis for students in all disciplines, especially those in business.

This very applied text focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations. It includes applications for engineering, sociology, psychology, etc., as well as traditional business applications. The authors use material from news articles, magazines, professional journals, and actual consulting problems to illustrate real-world problems and how to solve them using the tools of regression analysis.

Other Editions of Second Course in Statistics : Regression Analysis / With CD-ROM

For either the second term of an introductory statistics course or for an advanced course in applied regression analysis for students in all disciplines, especially those in business.

This very applied text focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations. It includes applications for engineering, sociology, psychology, etc., as well as traditional business applications. The authors use material from news articles, magazines, professional journals, and actual consulting problems to illustrate real-world problems and how to solve them using the tools of regression analysis.

Summary

For either the second term of an introductory statistics course or for an advanced course in applied regression analysis for students in all disciplines, especially those in business.

This very applied text focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations. It includes applications for engineering, sociology, psychology, etc., as well as traditional business applications. The authors use material from news articles, magazines, professional journals, and actual consulting problems to illustrate real-world problems and how to solve them using the tools of regression analysis.